Assessment of Thermal Comfort in Respect to Building Height in a High-Density City in the Tropics

Kakon, Anisha Noori; Mishima, Nobuo; Shoichi, Kojima; Yoko, Taguchi

doi:10.3844/ajeassp.2010.545.551

Cited by 44 publications

(23 citation statements)

References 6 publications

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“…To examine the spatial and temporal variations of LST that are caused by land cover changes, the normalized difference vegetation index (NDVI) and the normalized difference built-up index (NDBI) are among the most commonly used landscape indices [15]. In addition, based on remote sensing data, a number of available thermal comfort indices have been used to evaluate the effects of UHI on urban quality of life, namely, the temperature humidity index (THI), the physiological equivalent temperature [16], the wet-bulb globe temperature (WBGT), and the urban thermal field variance index (UTFVI) [17][18][19][20]. The UTFVI was used in the ecological evaluation of UHI zones because of the application that was previously tested for Landsat data [7].…”

Section: Introductionmentioning

confidence: 99%

The Environmental Effects of Urban Development in Hanoi, Vietnam from Satellite and Meteorological Observations from 1999–2016

2019

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Since 1990 the Hanoi capital region (or Hanoi metropolitan area) in Vietnam has undergone rapid development, which has gone together with increasing socio-economic growth and prosperity. However, the environmental degradation that has accompanied urban development has raised considerable concern from the public in recent years. This research investigates the effects of urban development on urban sprawl, urban heat island (UHI), and metropolitan weather phenomena that are related to the quality of urban life in the period from 1999–2016. To achieve these objectives, remote sensing technologies were applied to satellite images at three time points (i.e., 1999, 2009, and 2016) that were associated with the meteorological dataset from ground-based stations. The spatial distribution evolution was examined for the land use/land cover changes while using the normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI). The increasing impact of urban sprawl on UHI intensity is determined based on the land surface temperature (LST) in multi-temporal forms. Increasing urbanization with the development of gradual outward and northward expansion from the city centre intensified the correlation analysis shows that the UHI. The potential formation of new UHI areas in the near future is also indicated. Furthermore, more than 30% of the metropolitan area is decaying in ecological quality according to an assessment of the urban thermal field variance index (UTFVI). With respect to metropolitan weather, the urbanization in Hanoi affected the observation of meteorological parameters revealed that the relative humidity, total rainfall, temperature, and wind speed over both urban and rural areas. The overall results imply that urban development and its environmental effects and impacts have imposed pressing issues and new challenges to sustainable development in the Hanoi metropolitan area.

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Section: Introductionmentioning

confidence: 99%

The Environmental Effects of Urban Development in Hanoi, Vietnam from Satellite and Meteorological Observations from 1999–2016

2019

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“…temperature humidity index, physiological equivalent temperature, wet-bulb globe temperature and urban thermal field variance index (UTFVI). (Kakon, Nobuo, Kojima, & Yoko, 2010;Matzarakis, Mayer, & Iziomon, 1999;Willett & Sherwood, 2012;Zhang, 2006). Among these indices, UTFVI is the most widely used index for the ecological evaluation of urban environment due to its direct relation to LST (Alfraihat, Mulugeta, & Gala, 2016;Li et al, 2013;Liu & Zhang, 2011;Mackey, Lee, & Smith, 2012;Nichol, 2005).…”

Section: Introductionmentioning

confidence: 99%

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

Guha

Govil

Dey³

et al. 2018

European Journal of Remote Sensing

374

153

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The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU-LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classifier, and analyses the relationship built by LST with the built-up area and bare land. Urban thermal field variance index was applied to determine the thermal and ecological comfort level of the city. Several urban heat islands (UHIs) were extracted as the most heated zones within the city boundaries due to increasing anthropogenic activities. The difference between the mean LST of UHI and non-UHI is 3.15°C and 3.31°C, respectively, for Florence and Naples. LST build a strong correlation with NDVI (negative) and NDBI (positive) for both the cities as a whole, especially for the non-UHIs. But, the strength of correlation becomes much weaker within the UHIs. Moreover, most of the UHIs (85.21% in Naples and 76.62% in Florence) are developed within the built-up area or bare land and are demarcated as an ecologically stressed zone. ARTICLE HISTORY

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“…Reference [4] shows that, under low latitude conditions, the H/W ratio and street canyon orientation has a considerable effect on solar shading and urban microclimate. As the H/W ratio increases, the air temperature decreases; during some hours of the day, mean radiant temperature and surface temperature drop considerably [5]. The most comfortable conditions were found for narrow streets with tall buildings (higher wind speeds, lower surface temperature and meant radiant temperature).…”

Section: Introductionmentioning

confidence: 82%

A Model-Based Approach to Measuring the Effect of Shading on Outdoor Thermal Comfort

Baca¹,

Tsai²

2015

IJET

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Abstract-Building shading is a tried and true strategy for passive cooling to reduce energy consumption. But shading also affects the mobility system outside of buildings. This paper analyzes the effects of building shading on outdoor thermal comfort. It focuses on building height and density as the two design parameters of urban built form and uses weather data and passive shading simulation to derive a measure of the effect of walking outdoors. The model is specialized to regions of extreme heat and humidity, drawing weather data from Abu Dhabi in the United Arab Emirates. The methodological developments are then demonstrated on four urban design schemes: high-density, low-rise; low-density, high-rise; low-density, low-rise; and high-density, high-rise. The results show that the optimal urban system for hot and humid locations, in terms of improving outdoor thermal comfort, comes from increasing the height-to-width ratio of the built urban form.Index Terms-Shading effect, thermal comfort, thermal comfort index, urban design.

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Assessment of Thermal Comfort in Respect to Building Height in a High-Density City in the Tropics

Cited by 44 publications

References 6 publications

The Environmental Effects of Urban Development in Hanoi, Vietnam from Satellite and Meteorological Observations from 1999–2016

The Environmental Effects of Urban Development in Hanoi, Vietnam from Satellite and Meteorological Observations from 1999–2016

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

A Model-Based Approach to Measuring the Effect of Shading on Outdoor Thermal Comfort

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